Call a local llama.cpp server with the LLaVA model to analyze images.

This skill appears to do what it says: read an image (local path or remote URL), encode it, and POST it to a local llama.cpp/LLaVA server at 127.0.0.1:8081. Before installing or using: (1) ensure you trust the local server (it will receive the raw image bytes); (2) avoid passing paths or URLs that contain sensitive data (the skill will read local files and fetch arbitrary URLs you give it); (3) be aware the code will fetch remote images from any URL you provide — do not pass internal-management URLs you don't want accessed; (4) note a minor interoperability issue: index.js uses require('./tool') while tool.js uses ES export syntax (this may fail on some Node setups). If you need higher assurance, review or run the code locally in an isolated environment and confirm the local llama server is secure and not forwarding model inputs externally.

Type: OpenClaw Skill Name: llava-vision Version: 1.0.1 The skill is designed to analyze images by sending them to a local llama.cpp server (127.0.0.1:8081). The code in `tool.js` and `index.js` correctly implements the described functionality, allowing users to provide either a local file path or a remote URL. It uses standard Node.js modules and lacks any indicators of malicious intent, such as data exfiltration to external domains, obfuscation, or unauthorized command execution.